ENERGY-EFFICIENT AND SUSTAINABLE DATABASE SYSTEMS: CHALLENGES, TECHNOLOGIES AND DEVELOPMENT PROSPECTS

Abstract

The article discusses the significance of energy-efficient Database Management Systems (DBMS) in the development of a sustainable digital infrastructure. The paper analyzes the increasing energy consumption trends of data centers and their environmental impact, specifically the rise in CO₂ emissions. Modern energy optimization techniques are presented, including Dynamic Voltage and Frequency Scaling (DVFS), load consolidation, and AI-integrated optimization. The research draws parallels between database energy efficiency and building energy performance management, illustrated by Antonina Sityuk’s energy benchmarking model implemented in Ukraine. Empirical results demonstrate that these methods can achieve energy savings between 20% and 50% with minimal performance loss.